Data Scientist

At Bask Health, Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact.

Why You’ll Love Working at Bask Health

• Discover actionable insights
• Seek objective truths through analysis, challenging assumptions, and uncovering the stories hidden in the data to guide decision-making.
• Drive meaningful change
• Apply your analytical, statistical, and technical expertise to generate insights that directly influence our product decisions and business strategy.
• Work with advanced tools
• Utilize cutting-edge techniques like regression analysis, segmentation, and A/B testing to inform product optimization and continuous improvement.

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements

Qualifications

Educational Background

• Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus.

Experience

• 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights.
• Experience working with cross-functional teams, including product managers, engineers, and designers.
• Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory.

Technical Skills

• Experts in programming languages such as Python & SQL for data manipulation and analysis.
• Strong experience with data visualization tools (e.g., Tableau, Looker, or similar).
• Experience with Alteryx (1+ Year)
• Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation.
• Experience with A/B testing and designing experiments.
• Familiarity with data tools (e.g., Segment, Snowflake), ETL tooling and cloud platforms (e.g., AWS, Google Cloud) is a bonus.

Analytical Skills

• Ability to extract actionable insights from complex datasets.
• Strong problem-solving skills and a keen sense of curiosity.
• Experience applying machine learning techniques is a plus.

Soft Skills

• Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders.
• Strong project management skills, with the ability to prioritize tasks and meet deadlines.
• Collaborative and proactive mindset.